81 citations · 85 across the 3 of their papers we have counts for
3 papers
Boundary Graph Neural Networks for 3D Simulations
Andreas Mayr, Sebastian Lehner, Arno Mayrhofer +3
The abundance of data has given machine learning considerable momentum in natural sciences and engineering, though modeling of physical processes is often difficult. A particularly…
Learning 3D Granular Flow Simulations
Andreas Mayr, Sebastian Lehner, Arno Mayrhofer +3
Recently, the application of machine learning models has gained momentum in natural sciences and engineering, which is a natural fit due to the abundance of data in these fields. H…
Investigation of wall bounded flows using SPH and the unified semi-analytical wall boundary conditions
Arno Mayrhofer, Benedict D. Rogers, Damien Violeau +1
The semi-analytical wall boundary conditions present a mathematically rigorous framework to prescribe the influence of solid walls in SPH for fluid flows. In this paper they are in…